Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Matrix Input</td><td class="align_center">Hidden neurons</td><td class="align_center">RMSE (kWh/m2)</td><td class="align_center">R</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">[HA, Wss, GD]</td><td class="align_center">10</td><td class="align_center">0.0580</td><td class="align_center">0.9813</td></tr><tr><td class="align_left">[δ, HA, Wss, GD]</td><td class="align_center">12</td><td class="align_center">0.0583</td><td class="align_center">0.9809</td></tr><tr><td class="align_left">[HA, Wss, ERh]</td><td class="align_center">10</td><td class="align_center">0.0783</td><td class="align_center">0.8978</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Best learning’s performances with Gh as target.

International Journal of Photoenergy

tab1

Table 1

Table 1: Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks 

Table 1 | Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks 